In this paper, we analyze the radar echo signals of a 24 GHz FMCW radar obtained from two different groups of moving targets (humans and vehicles). Range and Doppler information are obtained with a 2D FFT analysis. The aim of this paper is to describe the experimental setup, the adopted approach for the extraction of the Doppler-based features for human-vehicle classification, and the results obtained so far. In particular, the differences between pedestrians and vehicles in the Doppler domain will be reported and discussed
A Frequency Modulated Continuous Wave (FMCW) Doppler radar was assembled to detect human as sample...
To train a classifier used for automatic target recognition, a large dataset of annotated target sig...
This paper presents the results of time (autocorrelation) and time-frequency (spectrogram) analyses ...
This paper presents experimental results of extracting features in the Radar Target Classification p...
For an automotive pedestrian detection radar system, fast-ramp based 2D range-Doppler Frequency Modu...
The application of modern series production automotive radar sensors to pedestrian recognition is an...
This thesis studies non-cooperative automatic radar target classification. Recent developments in si...
Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the ran...
Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the ran...
Radar technology has commonly been used to estimate the speed and distance of a moving object. In re...
This study aims to experimentally investigate the feasibility of discriminating human motions with t...
In recent years, with the rapid development of technology, radar systems have made breakthroughs in ...
Automatic target recognition based on features obtained from micro-Doppler signatures has a great po...
This paper discusses the various millimeter-wave radar micro-Doppler features of consumer drones and...
This article addresses the joint estimation of range, velocity and azimuth for multiple fast-moving ...
A Frequency Modulated Continuous Wave (FMCW) Doppler radar was assembled to detect human as sample...
To train a classifier used for automatic target recognition, a large dataset of annotated target sig...
This paper presents the results of time (autocorrelation) and time-frequency (spectrogram) analyses ...
This paper presents experimental results of extracting features in the Radar Target Classification p...
For an automotive pedestrian detection radar system, fast-ramp based 2D range-Doppler Frequency Modu...
The application of modern series production automotive radar sensors to pedestrian recognition is an...
This thesis studies non-cooperative automatic radar target classification. Recent developments in si...
Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the ran...
Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the ran...
Radar technology has commonly been used to estimate the speed and distance of a moving object. In re...
This study aims to experimentally investigate the feasibility of discriminating human motions with t...
In recent years, with the rapid development of technology, radar systems have made breakthroughs in ...
Automatic target recognition based on features obtained from micro-Doppler signatures has a great po...
This paper discusses the various millimeter-wave radar micro-Doppler features of consumer drones and...
This article addresses the joint estimation of range, velocity and azimuth for multiple fast-moving ...
A Frequency Modulated Continuous Wave (FMCW) Doppler radar was assembled to detect human as sample...
To train a classifier used for automatic target recognition, a large dataset of annotated target sig...
This paper presents the results of time (autocorrelation) and time-frequency (spectrogram) analyses ...